CN106658381A - Landslide early warning method based on wireless sensor network - Google Patents
Landslide early warning method based on wireless sensor network Download PDFInfo
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- CN106658381A CN106658381A CN201611267204.7A CN201611267204A CN106658381A CN 106658381 A CN106658381 A CN 106658381A CN 201611267204 A CN201611267204 A CN 201611267204A CN 106658381 A CN106658381 A CN 106658381A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
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Abstract
The invention discloses a landslide early warning method based on a wireless sensor network. The method comprises the following steps: after every preset period, an aggregation node in the WSN broadcasts data collection request information, so that after collection nodes in the WSN receive the data collection request information, the collection nodes send collected environmental data to the aggregation node according to data sending times corresponding to the collection nodes; the aggregation node stores the received environmental data; and the aggregation node determines to perform landslide early warning or not according to the stored environmental data and a preset early warning threshold. According to the landslide early warning method provided by the invention, whether the landslide early warning needs to be performed is determined by receiving the environmental data sent by the collection nodes in the WSN based on the respective corresponding data sending times and the preset early warning threshold, the information collision problem in a data transmission process of multiple data collection nodes in a single channel of the existing WSN is solved, and the time synchronization problem between sensor nodes is avoided, so that a landslide monitoring and early warning system is more accurate and efficient.
Description
Technical field
The present invention relates to early warning technology field of coming down, and in particular to a kind of pre- police in the landslide based on wireless sensor network
Method.
Background technology
With the fast development of sensor technology, wireless sensor network (Wireless Sensor Networks, WSN)
It is widely applied in different field, thus landslide is monitored and early warning by wireless sensor technology, realizes landslide
The effective control of mud-rock flow natural calamity and strick precaution are significant.At present, the landslide monitoring early warning system based on WSN is not yet
There are collection, transmission and the method for early warning of clear and definite environmental information, propose that a kind of rationally effective monitoring and pre-alarming method is to realize sliding
The pith that slope is effectively monitored in real time.
The content of the invention
In view of the above problems, the present invention proposes the one kind for overcoming the problems referred to above or solving the above problems at least in part
Landslide method for early warning based on wireless sensor network.
The present invention proposes a kind of landslide method for early warning based on wireless sensor network, including：
Aggregation node broadcast data in predetermined period, wireless sensor network WSN collects solicited message, so that institute
The each acquisition node in WSN is stated after the data collection request information is received, is sent out according to the corresponding data of each acquisition node
The time is sent, gathered environmental data is sent to the aggregation node；
The aggregation node is stored the environmental data for receiving；
Environmental data and default threshold value of warning of the aggregation node according to storage, it is determined whether carry out coming down pre-
It is alert.
Optionally, environmental data and default threshold value of warning of the aggregation node according to storage, it is determined whether carry out
Landslide early warning, including：
The aggregation node is analyzed to the environmental data for storing, the environmental data of rejecting abnormalities, and according to default
Remaining environmental data after the environmental data of threshold value of warning and rejecting abnormalities, it is determined whether carry out landslide early warning；
The predetermined period is obtained by following formula：
Predetermined period=preset constant × (number of acquisition node × default transmission time slot lengths in the WSN)；
Correspondingly, the transmission time slot lengths and the aggregation node are carried in the data collection request information
Numbering.
Optionally, each acquisition node in the WSN is after the data collection request information is received, according to each collection
The corresponding data transmission time of node, the gathered environmental data of transmission to the aggregation node, including：
Each acquisition node in the WSN after the data collection request information is received, according to the Data Collection
The transmission time slot lengths carried in solicited message, determine the corresponding data transmission time of each acquisition node；According to each collection
The corresponding data transmission time of node, sends gathered environmental data to the aggregation node；
Numbering × transmission the time slot lengths of the corresponding data transmission time=each acquisition node of each acquisition node.
Optionally, the numbering of acquisition node, the numbering of aggregation node and ring are carried in the environmental data of the collection
The type of border data；
The type of the environmental data includes：Soil temperature and humidity, inclination angle, rainfall and sedimentation deformation.
Optionally, the aggregation node is stored the environmental data for receiving, including：
The aggregation node is stored the environmental data for receiving, and storage information includes：The numbering of acquisition node, ring
The time of border data receiver and the type of environmental data.
Optionally, the storage information also includes：The corresponding default storage duration of all types of environmental datas.
Optionally, the aggregation node is analyzed to the environmental data for storing, the environmental data of rejecting abnormalities, including：
The information carried in the environmental data that the aggregation node is gathered each acquisition node for receiving is not complete or wrong
By mistake the environmental data of form is rejected, and obtains the remaining environmental data of each acquisition node；
The aggregation node counts the number of the remaining environmental data of each acquisition node；
The aggregation node is based on the number of the remaining environmental data of each acquisition node, it is determined that and each acquisition node pair
The Xiao Wei nanoteslas coefficient answered and the mean value for determining each acquisition node transmission environmental data；
The aggregation node is based on the number and each acquisition node of the remaining environmental data of each acquisition node
The mean value of environmental data is sent, determines that each acquisition node sends the standard deviation of environmental data；
The aggregation node carries out suspicious judgement according to Xiao Wei nanoteslas method to the remaining environmental data of each acquisition node,
And give up suspicious data.
Optionally, after the environmental data of the rejecting abnormalities, also include：
The aggregation node judges whether the remaining environmental data number of each acquisition node is 0 in current period, will
Fault index for 0 acquisition node adds 1, and the fault index not for 0 acquisition node is set to 0；
The aggregation node judges that the fault index of each acquisition node, whether more than preset value, generates fault alarm information,
Numbering of the fault index more than the acquisition node of preset value is carried in the fault alarm information.
Optionally, the remaining environment number after the environmental data according to default threshold value of warning and rejecting abnormalities
According to, it is determined whether landslide early warning is carried out, including：
The corresponding threshold value of warning of all types of environmental datas is pre-set, when the collection value of environmental data exceeds the environment
During the corresponding threshold value of warning of the type of data, each acquisition node environmental data collecting value is analyzed, it is determined whether slided
Slope early warning.
Optionally, it is described when the corresponding threshold value of warning of the type that the collection value of environmental data exceeds the environmental data, it is right
Each acquisition node environmental data collecting value is analyzed, it is determined whether carry out landslide early warning, including：
The aggregation node judges whether the mean value of each acquisition node transmission environmental data in current period does not surpass
Go out the corresponding threshold value of warning of type of environmental data, if it is not, then each acquisition node in current period is sent into the flat of environmental data
Average is weighted analysis, so as to be estimated to the possibility that landslide occurs；
It is three levels, low degree of danger early warning, middle degree of danger early warning and high-risk journey to divide early warning mechanism in advance
Degree early warning, and the early warning for each level sets corresponding solution；
Early warning level is used according to the possibility Sexual behavior mode that landslide occurs.
Compared to prior art, the landslide method for early warning based on wireless sensor network proposed by the present invention, by receiving
Each acquisition node is sent based on each self-corresponding data transmission time in WSN environmental data and default threshold value of warning, really
It is fixed whether to carry out landslide early warning, solve the information collision in multiple acquisition node data transmission procedures under existing WSN single channels
Problem simultaneously avoids the time synchronization problem between sensor node, while can supervise to the exception of data and acquisition node
Survey and early warning, so that landslide monitoring early warning system is more accurately and efficient.
Description of the drawings
Fig. 1 is a kind of landslide method for early warning flow chart based on wireless sensor network provided in an embodiment of the present invention；
Fig. 2 be the embodiment of the present invention landslide monitoring early warning system in data acquisition transmission and early warning standard content；
Fig. 3 is the packet memory requirement of the embodiment of the present invention；
Fig. 4 is the aggregation node abnormality detection content of the embodiment of the present invention；
Fig. 5 is the data exception detection of the embodiment of the present invention and deletion process；
Fig. 6 is the processing procedure of the gathered data of the embodiment of the present invention.
Specific embodiment
To make purpose, technical scheme and the advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is explicitly described, it is clear that described embodiment be the present invention
A part of embodiment, rather than the embodiment of whole.
As described in Figure 1, the present embodiment discloses a kind of landslide method for early warning based on wireless sensor network, including step
101～103：
101st, every predetermined period, the aggregation node broadcast data in wireless sensor network WSN collects solicited message, with
The each acquisition node in the WSN is made after the data collection request information is received, according to the corresponding number of each acquisition node
According to the time of transmission, gathered environmental data is sent to the aggregation node；
102nd, the aggregation node is stored the environmental data for receiving；
103rd, environmental data and default threshold value of warning of the aggregation node according to storage, it is determined whether come down
Early warning.
Compared to prior art, the landslide method for early warning based on wireless sensor network proposed by the present invention, by receiving
Each acquisition node is sent based on each self-corresponding data transmission time in WSN environmental data and default threshold value of warning, really
It is fixed whether to carry out landslide early warning, solve the information collision in multiple acquisition node data transmission procedures under existing WSN single channels
Problem simultaneously avoids time synchronization problem between sensor node, while can be monitored to the exception of data and acquisition node
And early warning, so that landslide monitoring early warning system is more accurately and efficient.
Fig. 2 is the standard content of the present invention, and the present invention provides a kind of landslide monitoring early warning system information gathering based on WSN
Transmitting procedure, including herein below：
S1, aggregation node are with certain periodic broadcasting data collection request bag Req；
S2, acquisition node send gathered ring after the Req packets are received with regular hour sequencing
Environment information is to aggregation node；
S3, aggregation node record the environmental data for receiving local and store；
S4, aggregation node are judged and suppressing exception data by being analyzed to being saved in local data, while to section
The current state of point is detected；
S5, the data obtained according to screening, are estimated and early warning by Threshold Analysis to current surroundings of slide.
Below the present invention is illustrated with specific embodiment：
The broadcast cycle and request bag Req command context of aggregation node is as follows：
Periodically broadcast data collects request bag Req for S101, aggregation node；
Especially, in the Data Collection of every wheel, aggregation node periodically broadcast data request bag Req is adopted with triggering
The data transfer of collection node.Aggregation node, also with storing to data, is parsed in addition to receiving the data of acquisition node,
The function of calculating and assess.
S102, broadcast cycle=1.5 × (acquisition node number × transmission time slot lengths).
S103, transmission time slot lengths are 10 seconds.
S104, data collection request bag Req have specific bag form.
Especially, the bag form of request bag Req is：
| Aggregation node is numbered | Data collection request | Time slot lengths |
| 1 byte | 1 byte | 2 bytes |
When acquisition node receives request bag Req of above-mentioned form, gathered data is transferred to into remittance in specific time slot
Poly- node.
The transmission time slot of acquisition node and the name of data Packet form are as follows：
S201, acquisition node transmit gathered data Packet. within the specific period
Acquisition node is received after request bag Req, is calculated according to the time slot lengths information of Req and is started to aggregation node transmission
The time t of data Packet, when a length of time slot lengths of transmission.
Wherein, t=nodes itself numbering × time slot lengths
S202, gathered data Packet of transmission have specific bag form.
| Acquisition node is numbered | Aggregation node is numbered | Data type | Data value |
| 4 bytes | 4 bytes | 4 bytes | 12 bytes |
Acquisition node is transmitted data Packet of 24 bytes by above-mentioned bag form to aggregation node；Acquisition node collection
Data type is respectively soil temperature and humidity, inclination angle, rainfall and sedimentation deformation.
The number order that S203, sequencing are configured when initializing for acquisition node.
As shown in figure 3, the storing process of packet that aggregation node is received, it is desirable to as follows：
The form of S301, data storage；
For the data that each acquisition node is sended over, we are deposited using following data form to data
Storage：
| Acquisition node is numbered | Data receipt time | Data type | Data value |
| 4 bytes | 8 bytes | 4 bytes | 12 bytes |
The acquisition node numbering of 4 bytes；
The data receipt time of 8 bytes；
The data type of 4 bytes；
The data value of 12 bytes.
The storage time of S302, data；
Due to the memory source being limited, in surroundings of slide monitoring, the sensor such as inclination angle, soil temperature and humidity and rainfall institute
The data for collecting can not possibly be preserved for a long time, for this reason, it may be necessary to the environmental data design of each type received for aggregation node
Corresponding storage time.
Because the change of surroundings of slide is a long-term slow process for developing, therefore, receive for aggregation node
The environmental data of each type, can be stored respectively with a fixed storage time to the environmental data for receiving,
For example, respectively with one week and two weeks as storage time storing to the inclination data on slope and Soil Temperature And Moisture degrees of data, when
Before the inclination angle that collects and Soil Temperature And Moisture degrees of data can be rejected after one week and two weeks in storage respectively.
As shown in figure 4, the detection content of node and data exception is as follows：
S401, data exception are detected and deleted；
In a specific example, step S401 also includes the sub-step S4011 to S4016 shown in Fig. 5.
S4011, aggregation node are collected within each cycle to the data that each acquisition node is gathered, and according to every
The data form that individual acquisition node institute gathered data should meet judges that each data packet format rejecting form is incorrect
Packet.
The number of collected each the correct packet of acquisition node form of S4012, statistics.
Wherein, aggregation node is in the packet for not receiving a certain numbering acquisition node transmission or receives numbering collection
When the packet that node sends is unsatisfactory for call format, it is 0 to remember that the numbering acquisition node sends packet number, and is not carried out
Following S4013 to S4016 steps.
S4013, the corresponding remaining data bag number of each acquisition node is counted according to step S4012, search each node
The corresponding Xiao Wei nanoteslas coefficient of contained remaining data bag number.
S4014, calculated in each acquisition node current period according to step S4011 and step S4012 and send data
Mean value.
S4015, institute in each acquisition node current period is calculated according to step S4011, step S4012 and step S4014
Send the standard deviation of data.
S4016, each acquisition node received by aggregation node is sent correct format data according to Xiao Wei nanoteslas method
Bag carries out suspicious judgement, and gives up suspicious data.
S402, node abnormality detection and warning；
In a specific example, S402 also includes sub-step S4021 to S4022 not shown in Fig. 4.
S4021, aggregation node judge to receive each numbering acquisition node correct format packet number in current period
Whether it is 0, is that 0 numbering acquisition node fault index plus 1, the numbering acquisition node fault index does not set to 0 for 0.
S4022, aggregation node judge that each numbering acquisition node fault index, whether more than 5, when more than 5 the volume is sent
Number acquisition node fault alarm information.
As shown in fig. 6, the processing procedure to gathered data, comprising as follows：
S501, Threshold Analysis；
In order to the data received to aggregation node carry out Threshold Analysis, we are firstly the need of the environment number to each type
According to a threshold value is arranged in advance, when the collection value of the environmental data of the type exceeds this threshold value, it is necessary to overall prison
Survey data to be analyzed, so that it is determined that there is the possibility of landslide.
Threshold value is given according to specific landslide monitoring place and test with artificial experience.
The acquisition of S502, each acquisition node environmental data collecting value；
The mean value of each acquisition node residue environmental data in the current period obtained by S4 is obtained as current time
The environmental data collecting value of each acquisition node.
S503, surroundings of slide assessment；
In surroundings of slide monitoring, if the inclination angle, soil temperature and humidity, rainfall and settlement number received by aggregation node
According to collection value all without departing from prior given threshold value, then, we are considered as current surroundings of slide safety, i.e. do not have
Generation landslide.If conversely, having the collection value of certain acquisition node beyond prior given threshold value, then it is right to be accomplished by
The collection value of whole acquisition node environmental datas for receiving is weighted analysis, so as to the possibility that landslide occurs
It is estimated.
S504, early warning mechanism；
Early warning mechanism is divided into into three levels, low degree of danger early warning, middle degree of danger early warning and high-risk degree
Early warning, and the early warning for each level sets corresponding solution.
Select to use the early warning of which level according to the possibility of resulting generation landslide, then using correspondence
The countermeasure of level early warning come to occur landslide situation confirm.
One of ordinary skill in the art will appreciate that：Realize above-described embodiment Overall Steps can by programmed instruction and
Completing, aforesaid program can be stored in the single-chip microcomputer of aggregation node and acquisition node related hardware, and the program is being held
During row, aggregation node and acquisition node perform the correlation step of above-described embodiment according to correspondence role.
Finally it should be noted that：Above example is merely to illustrate technical scheme, rather than a limitation；Although
The present invention is described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should be understood：It still can be with
Technical scheme described in foregoing embodiments is modified, or equivalent is carried out to some technical characteristics therein；
And these modification or replace, be not appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (10)
1. a kind of landslide method for early warning based on wireless sensor network, it is characterised in that include：
Aggregation node broadcast data in predetermined period, wireless sensor network WSN collects solicited message, so that described
Each acquisition node in WSN after the data collection request information is received, according to the corresponding data is activation of each acquisition node
Time, gathered environmental data is sent to the aggregation node；
The aggregation node is stored the environmental data for receiving；
Environmental data and default threshold value of warning of the aggregation node according to storage, it is determined whether carry out landslide early warning.
2. method according to claim 1, it is characterised in that the aggregation node is according to the environmental data of storage and pre-
If threshold value of warning, it is determined whether carry out landslide early warning, including：
The aggregation node is analyzed to the environmental data for storing, the environmental data of rejecting abnormalities, and according to default early warning
Remaining environmental data after the environmental data of threshold value and rejecting abnormalities, it is determined whether carry out landslide early warning；
The predetermined period is obtained by following formula：
Predetermined period=preset constant × (number of acquisition node × default transmission time slot lengths in the WSN)；
Correspondingly, the volume of the transmission time slot lengths and the aggregation node is carried in the data collection request information
Number.
3. method according to claim 2, it is characterised in that each acquisition node in the WSN is receiving the number
According to collecting after solicited message, according to the corresponding data transmission time of each acquisition node, gathered environmental data is sent to described
Aggregation node, including：
Each acquisition node in the WSN after the data collection request information is received, according to the data collection request
The transmission time slot lengths carried in information, determine the corresponding data transmission time of each acquisition node；According to each acquisition node
Corresponding data transmission time, sends gathered environmental data to the aggregation node；
Numbering × transmission the time slot lengths of the corresponding data transmission time=each acquisition node of each acquisition node.
4. method according to claim 2, it is characterised in that carry acquisition node in the environmental data of the collection
The type of numbering, the numbering of aggregation node and environmental data；
The type of the environmental data includes：Soil temperature and humidity, inclination angle, rainfall and sedimentation deformation.
5. method according to claim 1, it is characterised in that the aggregation node is deposited the environmental data for receiving
Storage, including：
The aggregation node is stored the environmental data for receiving, and storage information includes：The numbering of acquisition node, environment number
According to the type of the time and environmental data for receiving.
6. method according to claim 5, it is characterised in that the storage information also includes：All types of environmental datas pair
The default storage duration answered.
7. method according to claim 4, it is characterised in that the aggregation node is carried out point to the environmental data for storing
Analysis, the environmental data of rejecting abnormalities, including：
The information that carries in the environmental data that the aggregation node is gathered each acquisition node for receiving is complete or wrong lattice
The environmental data of formula is rejected, and obtains the remaining environmental data of each acquisition node；
The aggregation node counts the number of the remaining environmental data of each acquisition node；
The aggregation node is based on the number of the remaining environmental data of each acquisition node, it is determined that and each acquisition node is corresponding
Xiao Wei nanoteslas coefficient and each acquisition node of determination send the mean value of environmental data；
The aggregation node is based on the number and each acquisition node of the remaining environmental data of each acquisition node and sends
The mean value of environmental data, determines that each acquisition node sends the standard deviation of environmental data；
The aggregation node carries out suspicious judgement according to Xiao Wei nanoteslas method to the remaining environmental data of each acquisition node, and gives up
Abandon suspicious data.
8. method according to claim 7, it is characterised in that after the environmental data of the rejecting abnormalities, also include：
The aggregation node judges whether the remaining environmental data number of each acquisition node is 0 in current period, by for 0
The fault index of acquisition node adds 1, and the fault index not for 0 acquisition node is set to 0；
The aggregation node judges that the fault index of each acquisition node, whether more than preset value, generates fault alarm information, described
Numbering of the fault index more than the acquisition node of preset value is carried in fault alarm information.
9. method as claimed in claim 7, it is characterised in that described according to default threshold value of warning and the ring of rejecting abnormalities
Remaining environmental data after the data of border, it is determined whether carry out landslide early warning, including：
The corresponding threshold value of warning of all types of environmental datas is pre-set, when the collection value of environmental data exceeds the environmental data
Type corresponding threshold value of warning when, each acquisition node environmental data collecting value is analyzed, it is determined whether carry out coming down pre-
It is alert.
10. method according to claim 8, it is characterised in that described when the collection value of environmental data exceeds the environment number
According to type corresponding threshold value of warning when, each acquisition node environmental data collecting value is analyzed, it is determined whether come down
Early warning, including：
The aggregation node judges that whether each acquisition node sends the mean value of environmental data without departing from ring in current period
The corresponding threshold value of warning of type of border data, if it is not, each acquisition node in current period then to be sent the mean value of environmental data
Analysis is weighted, so as to be estimated to the possibility that landslide occurs；
It is three levels to divide early warning mechanism in advance, low degree of danger early warning, and middle degree of danger early warning and high-risk degree are pre-
It is alert, and the early warning for each level sets corresponding solution；
Early warning level is used according to the possibility Sexual behavior mode that landslide occurs.
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| CN113259912A (en) * | 2020-02-13 | 2021-08-13 | 虎尾科技大学 | Many-to-many state identification system for Internet of things broadcasting equipment name |
| CN113259912B (en) * | 2020-02-13 | 2024-03-26 | 虎尾科技大学 | Many-to-many status recognition system of broadcasting equipment name of thing networking |
| CN115273410A (en) * | 2022-09-09 | 2022-11-01 | 西北大学 | Sudden landslide monitoring and early warning system based on big data |
| CN115273410B (en) * | 2022-09-09 | 2023-08-25 | 西北大学 | Sudden landslide monitoring and early warning system based on big data |
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